딥러닝 [Course 4] Convolutional Neural Networks. W3 - Object Detection by 하응 2023. 5. 4. [Coursera] Convolutional Neural Networks 3주차 강의 (Object Detection)를 수강하며 작성한 필기 노트입니다. 1. Object Localization 2. Landmark Detection 3. Object Detection 4. Convolutional Implementation of Sliding Windows 5. Bounding Box Predictions 6. Intersection Over Union 7. Non-max Suppression 8. Anchor Boxes 10. Region Proposals (Optional) 11. Sementic Segmentation with U-Net 12. Transpose Convolutions 13,14. U-Net Architecture Intuition 반응형 공유하기 게시글 관리 공부하응 '딥러닝' 카테고리의 다른 글 [Course 4] Convolutional Neural Networks. W4 - Special Applications: Face Recognition & Neural Style Transfer (0) 2023.05.04 [Course 4] Convolutional Neural Networks. W2 - Deep Convolutional Models: Case Studies (0) 2023.05.04 [Course 4] Convolutional Neural Networks. W1 - Foundations of Convolutional Neural Networks (0) 2023.05.04 [Course 2] Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization.W1 - Practical Aspects of Deep Learning (0) 2023.03.08 [Course 1] Neural Networks and Deep Learning. W4 - Deep Neural Networks (0) 2023.03.07 관련글 [Course 4] Convolutional Neural Networks. W4 - Special Applications: Face Recognition & Neural Style Transfer [Course 4] Convolutional Neural Networks. W2 - Deep Convolutional Models: Case Studies [Course 4] Convolutional Neural Networks. W1 - Foundations of Convolutional Neural Networks [Course 2] Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization.W1 - Practical Aspects of Deep Learning 댓글
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